Haug P, Beesley D
Department of Medical Informatics, University of Utah, School of Medicine.
Proc Annu Symp Comput Appl Med Care. 1991:593-7.
Modern computerized hospital information systems can store much of the clinical information required for patient care. In some settings the amount of this information is great enough to interfere with its efficient use. Supplying information in support of radiographic interpretation provides an example of this problem. We describe an automated process that abstracts select data from a clinical database and creates a report recounting salient facts designed to assist the radiologist in interpreting the chest x-ray. The reporting system selects data using a combination of expert systems technology and information theory. It produces a brief summary of relevant clinical data. The original version of this process required run-time use of expert systems techniques that were time-prohibitive in the clinical setting. Through the use of pre-compiled tables of finding specific information contents we have reduced the time requirement to a point where the applications will soon be clinically feasible.
现代计算机化医院信息系统能够存储患者护理所需的大量临床信息。在某些情况下，这些信息的数量之大足以妨碍其有效利用。提供支持放射影像解读的信息就是这一问题的一个例子。我们描述了一个自动化流程，该流程从临床数据库中提取选定的数据，并生成一份报告，详述旨在协助放射科医生解读胸部X光的显著事实。报告系统结合专家系统技术和信息论来选择数据。它会生成相关临床数据的简要总结。此流程的原始版本需要在运行时使用专家系统技术，这在临床环境中耗时过长。通过使用预先编译的包含特定信息内容的查找表，我们已将时间要求降低到该应用不久将在临床上可行的程度。
